Fairvalue-Calculator Fairvalue-Calculator
EN DE

Scanway S.A (SCW) Fair Value & Analysis

Technology · PL · Market cap 584M PLN

Price302.00 PLN
Fair Value157.97 PLN
Upside-47.7%
Quality91/100
Evidence: Low Range 118.48 PLN – 197.47 PLN

Fair value as of: Jun 24, 2026

Analysis

Scanway S.A (SCW) currently trades at 302.00 PLN, while our model-based Fair Value estimate is 157.97 PLN — implying the stock looks roughly 47.7% overvalued today. We read business quality at 91/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

Scanway S.A. develops and commercializes optical instruments for earth observation and satellite self-diagnostics in Poland. It also offers visual quality control systems. The company was founded in 2015 and is based in Wroclaw, Poland.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Scanway S.A (SCW) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 157.97 PLN versus a price of 302.00 PLN — about −48% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SCW?
Our 21-model fair value for Scanway S.A is 157.97 PLN (as of Jun 24, 2026), built from audited fundamentals. The current price is 302.00 PLN.
What is the quality score of SCW?
Scanway S.A has a Quality Score of 91/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.